About

Yu Zhang is a highly skilled Machine Learning Scientist with a passion for data science and machine learning applications. With 3.70 years of relevant experience, Yu has a proven track record of applying state-of-the-art data science and machine learning methods to solve real-world industry problems. Currently working at Shell, Yu is a key member of the company's machine learning and AI research team. In this role, Yu applies machine learning methods such as deep learning and time series forecasting to solve challenges in the energy industry, including subsurface, wells, and renewable energy problems. Prior to this, Yu worked as a Data Scientist in Shell's Advanced Analytics team, where they contributed to multiple data analytics and data engineering projects using Python, Microsoft Azure, Databricks, and PowerBI. Yu's educational background is equally impressive, with a Doctor of Philosophy (PhD) in Ocean Engineering (Computational Hydrodynamics) from the Massachusetts Institute of Technology (MIT), a Master of Science (MS) in Mechanical Engineering from MIT, and a Bachelor of Science (BS) in Naval Architecture and Ocean Engineering from Shanghai Jiao Tong University. Yu's expertise in ML, research science, data science, AI, deep learning, Databricks, data engineering, Python, and Azure makes them a valuable asset to any organization. With a keen eye for detail and a passion for solving complex problems, Yu is an excellent team player and is always willing to go above and beyond to ensure project success.